The UN activated the Digital Humanitarian Network (DHN) on December 3, 2012 to carry out a rapid damage needs assessment in response to Typhoon Pablo in the Philippines. More specifically, the UN requested that Digital Humanitarians collect and geo-reference all tweets with links to pictures or video footage capturing Typhoon damage. To complete this mission, I reached out to my colleagues at CrowdCrafting. Together, we customized a microtasking app to filter, classify and geo-reference thousands of tweets. This type of rapid damage assessment request was the first of its kind, which means that setting up the appropriate workflows and technologies took a while, leaving less time for the tagging, verification and analysis of the multimedia content pointed to in the disaster tweets. Such is the nature of innovation; optimization takes place through iteration and learning.
Microtasking is key to the future of digital humanitarian response, which is precisely why I am launching MicroMappers in partnership with CrowdCrafting. MicroMappers, which combimes the terms Micro-Tasking and Crisis-Mappers, is a collection of free & open source microtasking apps specifically customized and optimized for digital disaster response. The first series of apps focus on rapid damage assessment activations. In other words, the apps include Translate, Locate and Assess. The Translate & Locate Apps are self-explanatory. The Assess App enables digital volunteers to quickly tag disaster tweets that link to relevant multimedia that captures disaster damage. This app also invites volunteers to rate the level of damage in each image and video.
For example, say an earthquake strikes Mexico City. We upload disaster tweets with links to the Translate App. Volunteer translators only translate tweets with location information. These get automatically pushed to the Assess App where digital volunteers tag tweets that point to relevant images/videos. They also rate the level of damage in each. (On a side note, my colleagues and I at QCRI are also developing a crawler that will automatically identify whether links posted on twitter actually point to images/videos). Assessed tweets are then pushed in real-time to the Locate App for geo-referencing. The resulting tweets are subsequently published to a live map where the underlying data can also be downloaded. Both the map & data download feature can be password protected.
The plan is to have these apps online and live 24/7 in the event of an activation request. When a request does come in, volunteers with the Digital Humanitarian Network will simply go to MicroMappers.com (not yet live) to start using the apps right away. Members of the public will also be invited to support these efforts and work along side digital humanitarian volunteers. In other words, the purpose of the MicroMappers Apps is not only to facilitate and accelerate digital humanitarian efforts but also to radically democratize these efforts by increasing the participation base. To be sure, one doesn’t need prior training to microtask, simply being able to read and access the web will make you an invaluable member of the team.
We plan to have the MicroMappers Apps completed in May for testing by members of the Digital Humanitarian Network. In the meantime, huge thanks to our awesome partners at CrowdCrafting for making all of this possible! If you’re a coder and interested in contributing to these efforts, please feel free to get in touch with me. We may be able to launch and test these apps earlier with your help. After all, disasters won’t wait until we’re ready and we have several more disaster response apps that are in need of customization.












MAQSA: Social Analytics of User Responses to News
Designed by QCRI in partnership with MIT and Al-Jazeera, MAQSA provides an interactive topic-centric dashboard that summarizes news articles and user responses (comments, tweets, etc.) to these news items. The platform thus helps editors and publishers in newsrooms like Al-Jazeera’s better “understand user engagement and audience sentiment evolution on various topics of interest.” In addition, MAQSA “helps news consumers explore public reaction on articles relevant to a topic and refine their exploration via related entities, topics, articles and tweets.” The pilot platform currently uses Al-Jazeera data such as Op-Eds from Al-Jazeera English.
Given a topic such as “The Arab Spring,” or “Oil Spill”, the platform combines time, geography and topic to “generate a detailed activity dashboard around relevant articles. The dashboard contains an annotated comment timeline and a social graph of comments. It utilizes commenters’ locations to build maps of comment sentiment and topics by region of the world. Finally, to facilitate exploration, MAQSA provides listings of related entities, articles, and tweets. It algorithmically processes large collections of articles and tweets, and enables the dynamic specification of topics and dates for exploration.”
While others have tried to develop similar dashboards in the past, these have “not taken a topic-centric approach to viewing a collection of news articles with a focus on their user comments in the way we propose.” The team at QCRI has since added a number of exciting new features for Al-Jazeera to try out as widgets on their site. I’ll be sure to blog about these and other updates when they are officially launched. Note that other media companies (e.g., UK Guardian) will also be able to use this platform and widgets once they become public.
As always with such new initiatives, my very first thought and question is: how might we apply them in a humanitarian context? For example, perhaps MAQSA could be repurposed to do social analytics of responses from local stakeholders with respect to humanitarian news articles produced by IRIN, an award-winning humanitarian news and analysis service covering the parts of the world often under-reported, misunderstood or ignored. Perhaps an SMS component could also be added to a MAQSA-IRIN platform to facilitate this. Or perhaps there’s an application for the work that Internews carries out with local journalists and consumers of information around the world. What do you think?
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Posted in Humanitarian Tech, Social Computing, Social Media
Tagged Al-Jazeera, analysis, Comments, MAQSA, MIT, news, QCRI, Tweets, Users